Several readers have voiced questions and opinions ranging from "Can you clarify this" to comments bordering on "He doesn't know what he's talking about," regarding my review of three new single-lens-reflex cameras. Let me try to answer some of their questions. Bear in mind that Tom's Guide is not DPReview (www.dpreview.com) or Imaging Resource (www.imaging-resource.com). We do not generate 7,000 to 10,000 word reviews that can cover the smallest details and features of any one camera. As Rachel Rosmarin commented earlier this week, if you need that depth in a review, you will need to turn to other resources.
One reader wrote that you should "forget the macro modes on P&S cameras, they are all about the closest focusing distance." That's quite true. Unfortunately, the reader misses the point of these cameras. A large number of the consumers purchasing these cameras are buying them as their second or third digital camera. They have, in fact, been using a point & shoot camera with the macro mode. These currently reviewed SLR cameras can be seen as a follow-on purchase for these valued customers. You may have been familiar with 35 mm film SLR cameras, and then migrated to digital via the point & shoot camera. As a vendor, Canon or Nikon or Olympus know very well that they will never secure large sales of their "prosumer" and professional digital SLRs as compared to their film SLRs, not when that equivalent costs north of $3,000 to $ 8,000.
So, why should these cameras even have a "Macro" feature? Think about it: You have just spent over $800 on one of these camera kits. The reason someone likely buys one of these cameras is for the availability of the additional interchangeable lenses. But, do you now want to force that buyer to purchase an additional lens just to take a macro shot, a lens that will set them back just under $400 for the Canon EF-S 60 mm macro lens, or around $450 for either the Nikon or the Olympus. Do you really want to be scaring off that new devotee?
Another point raised was that the focusing points of each camera's auto-focus system had nothing to do with depth-of-field. Once again, the reader is correct, the focusing points have absolutely nothing to do with depth-of-field. What the reader failed to address is that depth-of-field has everything to do with where you focus and the ƒ-stop used for that image. For example, you frame an image and focus on a subject six feet in front of you, using an ƒ-stop of ƒ 2.8. That subject will be in sharp focus, but everything beyond ten feet behind the subject will likely be out of focus or have a soft appearance.
But, let us say that it is really important for you to have everything from six feet to thirty feet in sharp focus. If you can use an ƒ-stop of ƒ 8 or ƒ 11 and focus on a point roughly in the middle of those two distances, you have a considerably better chance to get the picture you want. What if that center focus point is going to target someone in the middle of the picture, standing at six feet away? Look in your viewfinder, find an object that may rest roughly half way between the two distances. See if one of the other focusing points rests on that object. Select that point to force the camera to focus on that object. If that object is, in fact, about half way between the two distances, you stand a good chance that your image will have sufficient depth-of-field to cover the entire subject matter.
What is the fuss with multiplier effect some readers wanted to know. One reader wrote: " And again wrong. Yes, the lenses have a reduced image circle to match the smaller imager…" Which is exactly the point I was trying to make, nothing more. This reader went on to say that you would still need to use the multiplier effect to get the "true" focal length. My question must be, what is a "true" focal length? The "true" focal length, as I understand it, for these three cameras is the stated focal length of the supplied lenses. I do not need to multiply them to find out the focal length for a similar lens on a camera body first designed for 35 mm film.
One reader voiced a question regarding the measurement I used for determining an images' signal-to-noise ratio. It was this reader's understanding that the higher a signal-to-noise (SNR) ratio, the better. I have no background in electrical engineering, therefore as I understand it, I cannot give you the text book definition of what is, or is not, a perfect SNR.
What I can offer to you is the explanation I received from two Stanford University PhD professors, color scientists, who showed me how to asses an image from any camera or scanner, to determine how much electronic noise the image contained, thus determining whether that device would generate "clean" images.
Whether camera or scanner, create an image using some recognized form of grayscale. In this case, for these three cameras, I used a Macbeth ColorChecker, a photographic industry standard for several decades. On the bottom row of this card is a grayscale, ranging from white to black in six steps, or wedges. I then took a picture of this test target with each camera set to every ISO setting, low to high, in this case from ISO 100 for the Canon and Olympus and ISO 200 for the Nikon to ISO 3200. I do not test the "Lower" or "Higher" settings that some cameras now feature.
With the image open in Adobe's Photoshop application, I select the Marquee tool (the marching ants?). I draw several small marquees in the neutral gray, in this case, by my convention, the third square from the right side. Next I open the Histogram palette. As you can see in the Color & Quality section of the article, I have an illustration of just that, one for each camera, using the image set to ISO 100 or 200. As it was explained to me, the "STD. DEV." value, or the Standard Deviation, will define the signal-to-noise ratio. The higher the value, the "noisier" the image. I then average the several readings.
How do I know I am looking at a "noisy" image? In those images from the Macbeth, the gray wedge will appear to have a splotchy or mottled appearance. In that wedge, the splotchiness will take on the appearance of some pixels having a darker shade of gray while lying next to other pixels with a lighter shade of gray.
In a picture containing a significant amount of blue sky, you will see similar treatment of the blue, with lighter and darker pixels. In a portrait, skin tone will appear mottled, with a very "noisy" image looking like someone has a bad skin condition.